Tech Lead - Databricks + AWS Job

• Note: Resources should be familiar with Iceberg Tables.
• Design, develop, and maintain scalable data pipelines using AWS services.
• Build and optimize ETL/ELT workflows for structured and unstructured data.
• Implement data ingestion solutions using AWS Databricks.
• Develop and manage data lakes and data warehouse solutions on AWS.
• Create and maintain data models, transformations, and processing frameworks.
• Implement data governance, data quality, security, and compliance controls.
• Monitor and optimize data platform performance, scalability, and cost.
• Develop reusable frameworks and automation for data orchestration and deployment.
• Troubleshoot data-related issues and provide production support.

Data Engineering and Data Builder :
•    Build Bronze, Silver and Gold data assets 
•    Develop reusable enterprise data products 
•    Create pipelines, transformations and data integrations 
•    Implement CI/CD, monitoring and operational support of use cases through MVP 
•    Operationalize MVP solutions into production-ready assets